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Smart city article details

Title	Prediction Of Machine Learning Base For Efficient Use Of Energy Infrastructure In Smart City
ID_Doc	42825
Authors	Yoon G.; Park S.; Park S.; Lee T.; Kim S.; Jang H.; Lee S.; Park S.
Year	2019
Published	Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019
DOI	http://dx.doi.org/10.1109/iCCECE46942.2019.8941864
Abstract	The 21st century, which we live in today, is rapidly changing based on the fourth industrial revolution and information and communication technology. According to change, existing urban models are emerging as smart cities. Smart City is a sustainable city that improves urban functions of various elements by applying information and communication convergence technology and environment friendly technology to urban space and solves urban problems that are occurring now. Energy, a core element of the city, enables efficient energy management of energy systems through an Internet of Things-based platform. The Internet of Things is a technology that sends and receives data by attaching sensors to various objects through a network. The goal is to use resources efficiently as the Internet of Things is spread and various industries are applied. This paper is a prediction study based on machine learning algorithms for efficient use of energy infrastructure in the Smart City. The proposed system builds the optimal Smart City by estimating energy efficiency of the Smart City and improving resource utilization. © 2019 IEEE.
Author Keywords	Big data; Data analysis; Energy; Internet of Things; Machine learning; Smart City

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